INV vs PKC (Indian Vienna vs Pakistan CC), Match 39 - Match Information
Match: Indian Vienna vs Pakistan CC, Match 39
Date: 29th April 2021
Time: 04:30 PM IST
Venue: Seebarn Cricket Ground, Seebarn
Match Officials: Umpires: Rajinder Kumar, Santhosh Allala and Praveen Kumar Swamidas, Referee: Alex Dowdalls (SCO)
INV vs PKC, Pitch Report and Conditions
The pitch at the Seebarn Cricket Ground, Seebarn is a balanced pitch. The average 1st innings score at this venue in the last 36 matches is 103 runs. The team batting first at this venue has won 53% of its matches. So the toss does not make much of a difference here.
The pacers have earned 62% of the total bowling fantasy points at this venue. Hence picking up pacers for your fantasy team should be a good idea.
INV vs PKC, Head to Head
In the 4 matches played between these 2 teams, Pakistan CC have won 3 matches and Indian Vienna have won 1 match. Indian Vienna do not have a good record against Pakistan CC. We expect the trend to continue. Of both teams have earned the most fantasy points for their respective teams so far.
INV vs PKC Dream11 Prediction: Batters and Wicket-Keepers
Mehar Cheema has an average of 56 match fantasy points in the last 10 games, a fantasy rating of 10 and a medium XFactor.
Amir Naeem has an average of 46 match fantasy points in the last 10 games, a fantasy rating of 8.58 and a medium XFactor.
Mirza Ahsan has an average of 31 match fantasy points in the last 10 games, a fantasy rating of 8.34 and a medium XFactor.
INV vs PKC Dream11 Prediction: Bowlers
Kumud Jha has an average of 28 match fantasy points in the last 10 games, a fantasy rating of 9.43 and a medium XFactor.
Adal Afzal has an average of 30 match fantasy points in the last 10 games, a fantasy rating of 8.14 and a high XFactor.
Kamran Naeem has an average of 29 match fantasy points in the last 10 games, a fantasy rating of 7.21 and a high XFactor.
INV vs PKC Dream11 Prediction: All-Rounders
Naveed Sadiq has an average of 64 match fantasy points in the last 10 games, a fantasy rating of 9.94 and a medium XFactor.
Aqib Iqbal has an average of 61 match fantasy points in the last 10 games, a fantasy rating of 9.8 and a medium XFactor.
Shahil Momin has an average of 139 match fantasy points in the last 2 games, a fantasy rating of 8.95 and a high XFactor.
INV vs PKC Dream11 Prediction: Captain and Vice-Captain
Sikander Hayat has an average of 56 match fantasy points in the last 10 games, a fantasy rating of 10 and a medium XFactor.
Kunal Joshi has an average of 54 match fantasy points in the last 10 games, a fantasy rating of 10 and a low XFactor.
Mehar Cheema has an average of 56 match fantasy points in the last 10 games, a fantasy rating of 10 and a medium XFactor.
Daud Zadran has an average of 46 match fantasy points in the last 10 games, a fantasy rating of 9.97 and a high XFactor.
Naveed Sadiq has an average of 64 match fantasy points in the last 10 games, a fantasy rating of 9.94 and a medium XFactor.
INV vs PKC Dream11 Fantasy Team Suggestion
Wicket-Keeper: M. Cheema
Batters: A. Chhabra, G. Sandhu and M. Ahsan
All-Rounders: S. Momin, K. Joshi, S. Hayat and N. Hassan
Bowlers: K. Jha, W. Saluja and A. Afzal
Captain: S. Momin
Vice-Captain: K. Joshi
INV vs PKC (Indian Vienna vs Pakistan CC), Match 39 Preview
Indian Vienna (INV) will take on Pakistan CC (PKC) in the 39th game of the ECS Austria, Vienna, 2021 at the Seebarn Cricket Ground, Seebarn.
In their previous encounter in this series, Sikander Hayat was the Man of the Match and Shahil Momin scored the highest fantasy points for Indian Vienna with 196 match fantasy points while Naveed Sadiq topped the fantasy points leaderboard for Pakistan CC with 120 match fantasy points.
In the last match played by Indian Vienna against Salzburg, Indian Vienna beat Salzburg by 10 wickets. The top fantasy player for Indian Vienna was Mehar Cheema who scored 112 fantasy points.
In their last match in this series against Vienna Afghan, Vienna Afghan beat Pakistan CC by 7 wickets. The top fantasy player for Pakistan CC was Aqib Iqbal who scored 48 fantasy points.